Senior Software Engineer, Execution Engineering
Develops production trading systems and data pipelines for machine learning in finance, designing real-time distributed systems, integrating markets, owning observability, and leading cross-team projects. Requires 5+ years in scalable distributed systems and cloud expertise.
About the job
Responsibilities
- Design real-time distributed trading systems that place orders across a global set of markets and asset classes
- Integrate with new assets and markets and drive clarity on the resulting requirements
- Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testing
- Own observability and remediation tooling used to analyze trading performance and risk
- Improve the resilience and performance of our trading systems
- Participate in on-call rotations and drive incident response, root-cause analysis, and postmortems
- Lead projects spanning a number of engineering teams and collaborate with non-engineering stakeholders
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Bachelor’s, Master’s, or Doctorate degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systems
- Proven expertise in building cloud-native, distributed systems on AWS, Azure, or GCP
- Demonstrated experience with modern cloud technologies and data observability tools (CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (CloudFormation, Terraform)
- Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alerting
- Comfortable working in a containerized environment with Docker, Kubernetes, etc.
- Strong coding, analytical, debugging, and troubleshooting skills including use of industry standard tools
- Great at communicating and influencing stakeholders
Preferred Qualifications
- Familiarity with the trading domain; experience in trading/execution systems (Order Management Systems, market data, order lifecycle)
- Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision-making
- Track record mentoring engineers and leading technical direction
Skills
AWS, Azure, GCP, Kubernetes, Docker, Terraform, CloudFormation, Prometheus, Grafana, CloudWatch
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